code: def test_scipy__cache_raises_negative_size() -> None:
      with pytest.raises(
          ValueError,
          match=r"The 'compile_cache_size' argument must be non-negative",
      ):
          gpflow.optimizers.Scipy(compile_cache_size=-1)
  
imports: import unittest
  import warnings
  from typing import Any, Callable, Dict, List, Sequence, Tuple
  from unittest.mock import MagicMock
  import numpy
  import pytest
  import tensorflow
  from packaging.version import Version
  import gpflow
  from gpflow.base import AnyNDArray
  from gpflow.config import default_float
  from gpflow.models import GPR, GPModel
  from gpflow.optimizers.scipy import LossClosure
label_desc: Use image node_id 13 for calling a global function with example usage: test_scipy__cache_raises_negative_size() without return types